Classical methods for Environmental Impact Significance Assessment are not efficient on handle heterogeneous information and they obtain numerical outputs of low interpretability. In this contribution we propose a novel heterogeneous approach for EISA based on fuzzy linguistic models. It provides a flexible evaluation framework in which experts can supply their preferences using different domains and applies an aggregation process based on 2-tuples linguistic computational model to obtain interpretable significance values.